Objective This study aimed to develop a deep learning-based approach to automatically
segment the femoral articular cartilage (FAC) in 3D ultrasound (US) images of the knee to …

Knee arthroscopy is a minimally invasive surgery used in the treatment of intra-articular knee
pathology which may cause unintended damage to femoral cartilage. An ultrasound (US) …

Segmentation of knee cartilage from Ultrasound (US) images is essential for various clinical
tasks in diagnosis and treatment planning of Osteoarthritis. Moreover, the potential use of …

Objective To assess automatic segmentations for surface-based analysis of cartilage
morphology and composition on knee magnetic resonance (MR) images. Methods 2D and …

Automated Cartilage segmentation is essential for improving the performance of advanced
Knee Osteoarthritis (OA) assessment due to its convoluted 3D structure. In this paper, we …

Ultrasound (US) has emerged as a valid imaging modality for quantitative assessment of
femoral cartilage thickness for early diagnosis of knee osteoarthritis (OA). In this work, we …

Morphological changes in knee cartilage subregions are valuable imaging‐based
biomarkers for understanding progression of osteoarthritis, and they are typically detected …

Purpose: Semi quantitative scoring systems, such as the Whole-Organ Magnetic Resonance
Imaging Score (WORMS) or MRI Osteoarthritis Knee Score (MOAKS), have been developed …

In knee-joint magnetic resonance imaging (MRI), articular cartilage is susceptible to artifacts
and noise, making it difficult for a single image segmentation algorithm to achieve accurate …

Segmentation of knee articular cartilage tissue (ACT) from 3D magnetic resonance images
(MRIs) is a fundamental task in assessing knee osteoarthritis (KOA). However, automated …